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| author | Navid Afkhami <navid.afkhami@mdc-berlin.de> | 2023-02-03 14:44:02 +0100 |
|---|---|---|
| committer | Ricardo Wurmus <rekado@elephly.net> | 2023-02-03 16:57:00 +0100 |
| commit | a60c750eec73a2030b08b32af3b9f435c7ecca54 (patch) | |
| tree | 55ccc1644b440a93c98b8fda1a74d85fafa6eba4 /gnu | |
| parent | 25947bbc3217306742694304fa9b6499f0126c7a (diff) | |
| download | guix-a60c750eec73a2030b08b32af3b9f435c7ecca54.tar.gz | |
gnu: Add r-psupertime.
* gnu/packages/bioinformatics.scm (r-psupertime): New variable. Signed-off-by: Ricardo Wurmus <rekado@elephly.net>
Diffstat (limited to 'gnu')
| -rw-r--r-- | gnu/packages/bioinformatics.scm | 46 |
1 files changed, 46 insertions, 0 deletions
diff --git a/gnu/packages/bioinformatics.scm b/gnu/packages/bioinformatics.scm index 1da464f3c5..656eb7f13a 100644 --- a/gnu/packages/bioinformatics.scm +++ b/gnu/packages/bioinformatics.scm @@ -8258,6 +8258,52 @@ doublet-detection methods. In addition, this tool is used for execution and benchmark of those eight mentioned methods.") (license license:gpl3+)))) +(define-public r-psupertime + (let ((commit "73825a28d3bd9bc881c15ee0c4c218eec1c9c207") + (revision "1")) + (package + (name "r-psupertime") + (version (git-version "0.2.6" revision commit)) + (source (origin + (method git-fetch) + (uri (git-reference + (url "https://github.com/wmacnair/psupertime") + (commit commit))) + (file-name (git-file-name name version)) + (sha256 + (base32 + "00h1r3ffz6m9dwcgkvyki8405b059qn6mnjsd8d76a1rabaf2vfh")))) + (properties `((upstream-name . "psupertime"))) + (build-system r-build-system) + (propagated-inputs + (list r-cowplot + r-data-table + r-fastcluster + r-forcats + r-ggplot2 + r-glmnet + r-knitr + r-matrix + r-rcolorbrewer + r-scales + r-scran + r-singlecellexperiment + r-stringr + r-summarizedexperiment + r-topgo)) + (native-inputs (list r-knitr)) + (home-page "https://github.com/wmacnair/psupertime") + (synopsis + "Psupertime is supervised pseudotime for single cell RNAseq data") + (description + "Psupertime is supervised pseudotime for single cell RNAseq data. It +uses single cell RNAseq data, where the cells have a known ordering. This +ordering helps to identify a small number of genes which place cells in that +known order. It can be used for discovery of relevant genes, for +identification of subpopulations, and characterization of further unknown or +differently labelled data.") + (license license:gpl3)))) + (define-public r-pando (package (name "r-pando") |